Next steps

- [Yash] Congratulations on making it through a course…chock full of statistics and theory.…Through the course,…I gave you very pointed examples…of how to run elementary statistical analyses…and analyzing appropriately.…In the real world,…data can be a lot messier,…and you'll certainly have to do some extra research…to figure out how to transform your data sets…to get some meaningful results.…I would like to reiterate:…stats is not the end all, be all.…Make sure you use your research skills, as well.…

Ask meaningful, well-scoped questions.…Be sure to set up your sampling…and research methodology appropriately.…Only then will you be able to make rigorous calculations…and draw meaningful conclusions.…So what's next for you?…Well, try these tests with your own data.…Find data sets online to practice with.…Run the tests.…Make some inferences.…Draw some conclusions.…The more you do, the more you'll learn.…

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Released

10/2/2017

Explore how to run tests for academic research with SPSS, the leading statistical software. In this course, Yash Patel dives into SPSS, focusing on how to run and interpret data for the most common types of quantitative tests. Topics include t-tests, analysis of variance (ANOVA), and understanding the statistical measurements behind academic research. Review the tenants of qualitative testing, including the central theorem, P values, and confidence intervals, and specific use cases for tests in SPSS. For each type, Yash provides some general guidelines and assumptions, along with a challenge and solution exercise to practice what you've learned.